Geospatial raster, vector and stratified validation-point data for peat swamp forest and forest-cover loss screening in the Lac Télé–Likouala-aux-Herbes landscape, Republic of the Congo, 2001–2024
Abstract
This revised dataset contains the geospatial raster, vector, tabular, validation, figure, and metadata outputs supporting the analysis of peat swamp forest and forest-cover loss in the Lac Télé–Likouala-aux-Herbes landscape, Republic of the Congo, 2001–2024. This version adds the reviewer-revision materials, including stratified manual validation outputs, Google Earth visual-validation support files, validation-point tables, confusion matrices, accuracy metrics, area-adjusted estimates, forest-definition sensitivity analyses, annual loss time-series outputs through 2024, expanded metadata, file checksums, and reproducibility documentation. The associated analysis code is archived separately through the GitHub–Zenodo software record.
Fields of Study & Subjects
Conservation
Biodiversity
and Resource Management
Remote Sensing in Agriculture
Remote-Sensing Image Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 25 February 2026
- Language
- EN
- Document type
- Dataset